The problem of uniprocessor scheduling under conditions of overload is investigated. The system objective is to maximzze the number of tasks that complete by their deadlines. For ...
Abstract— For mobile robots, as well as other learning systems, the ability to highlight unexpected features of their environment – novelty detection – is very useful. One pa...
Paul A. Crook, Stephen Marsland, Gillian Hayes, Ul...
We study the problem of dynamically scheduling a set of state-feedback control tasks controlling a set of linear plants. We consider an on-line non-preemptive scheduling policy th...
To navigate in unknown environments, mobile robots require the ability to build their own maps. A major problem for robot map building is that odometry-based dead reckoning cannot ...
: In order to scale to problems with large or continuous state-spaces, reinforcement learning algorithms need to be combined with function approximation techniques. The majority of...